Claude Code marketing masterclass [from idea to making $$]

How can you use AI agents, MCPs and a bunch of different tools to make money on the internet today? We walk through it all. Yes, you can vibe code anything and right now and that's great But how can you actually use AI agents to get you customers 24/7? Well today we live build it. We actually spun up 10 quad code instances and we show you how you can do it to help you get Customers on repeat. I loved this episode. It's my friend Cody Schneider. He's an absolute legend when it comes to vibe marketing and growth marketing This episode is saw see and by the end of the episode you're gonna feel pretty confident You know what to do you are in for a treat enjoy the episode and I can't wait to see you in there Cody by the end of this episode what are we gonna learn you're gonna learn how to build your first agents that Allow for you to go and build personal software to do marketing sales growth customer experience for yourself and By the end of this you're gonna come out of it with this whole new toolset that allows for you to do all of the middle work Without touching a keyboard. You're just gonna use your voice and have agents do work for you in the background man It's gonna be crazy Okay, and can you list off a few of the piece tools and pieces of software we're gonna use like it? Yeah, absolutely. We're gonna touch phantom buster. We're gonna use instantly AI. We're going to use the verphonic. We're going to use Railway comm we're also going to use a Bunch of different other tooling that's in my go-to-market stack so We're also just gonna use like the Facebook ads API as an example as another Just like you know way that we're gonna interact via this this agent harness cloud code All right, and we're gonna live build it and everyone well You're gonna watch you're gonna watch a whole thing. So let's get into it Cool sweet man. So just to begin with G do you do you know like GTM engineering or like what it even means or like where it comes from No, honestly, I don't that's why it feels like a buzz. It's just a buzzword right so this is actually like made up by clay.com which is hilarious And they originally did it as like a way to explain somebody that like does basically like cascading workflows for like data enrichment to do outbound sales motions over email or Slack or you know, it could be like cold calling So that was kind of the origin of this was like it was just basically this term that was given to it but It's quickly evolving into something entirely different And so let me screen share and I can just like show you like what we're seeing this work as now But basically like what we're like seeing is that's the can you see this all right? Yeah Cool, so how I'm thinking about it now is like basically everything that used to be the middle work that we would do like All of anything that I would do to touch the keyboard. I'm now passing it on to some type of agent hardest Whether it's clawed code or it's codex or any of these tools and so my job suddenly turns into like I have ideas I pass them on to clawed code and then I'm basically polishing the end product and it enables me to do like Things at scale that that were just previously impossible and just to give you like a taste of like what I'm talking about We're gonna do this today like build a hundred Facebook ads publish them to Facebook Build a dashboard to track that analyze the data with in clawed code Have it turn off the Facebook ads that are the low performers have it bump up the Facebook ads are that are the best performers to a new ad set with its own dedicated budget And everything that I just described that happening and like literally you know 30 minutes So I'm anyways again not really sleeping So this is kind of where it's at now and I'm gonna talk through like this whole setup process and actually how to do this And then I'm gonna talk about where it's going like how agents are the natural evolution from this Basically as soon as you like start you have this epiphany you love like I can get this thing to do work for me Then you suddenly have this like you come to come to Jesus moment of like oh I can just deploy this onto a server and now it's doing this task for me in the background And I'm building out this personal software for myself for my job for my my you know tasks etc And this isn't some like hype thing of like go do open claw and give it access to everything I'm talking about like specific like jobs to be done workflows that are custom made for how you want to operate in your day to day So that's kind of the high level man. Any questions I can try to answer have to go deeper on anything. No I'm if you can teach me this by the end of that episode. I mean that's sort of that That's I think the question that a lot of people have in their heads right now like how do I How can I do that right because that's gonna be an unfair advantage So yeah, let's let's go let's go through it perfect. Let's jump into it man All right, so first off what you need to do if you're watching right now is I want you to go and I need you to create a folder that you're Gonna start living out of so the one I live out of is called graph uh graph growth agents So everything I do now where I start my work it all exists within here And the first thing that I'm gonna have you do is you're gonna set up an environment file and this environment file It just holds all of your API keys that you're basically going to be working with so what I'm doing is I'm basically having And I'm just not gonna show this just because it has literally all of our API keys for everything But it has I can open up this example one um, so it has Like intercom it has our send grid API my hub spot API my cal.com API my perplexity API my Facebook ads API Insta million verifier instantly everything that I live on top of that is a part of my day-to-day growth stack This is like what I'm working with basically um And so what what this translates into or like why I am why you start here is you're basically starting to interact with Everything that you do on a daily basis via the APIs and this is actually how I'm thinking about everything I do now and like how I buy software in particular is how robust the API is it's funny I was talking to a friend recently and he's like if you're looking at Salesforce versus hub spot right now Salesforce even though it's like historically a more clunk like clunky CRM It's actually the better product for this AI foundation because it has a more robust API so you can do more with it basically Um, and this is what this like turns into is you're all of the work that you're doing and we're gonna do this together today Is going to be happening from this this like repository when I say repo all I mean is just this like folder that we're living in that has all of these files And I'm gonna be using cloud code like throughout the rest of the session to basically Be building out this personal software and be building out uh, you know actually doing work if that makes sense So that's kind of one component of it the last piece um is then I would strongly suggest get just suggest getting something like a super whisper or Any of these other transcription uh softwares because it enables you to just so quickly go through the process of building out like what you're trying to do on the distribution side And then optional is just installing the cloud code front end design skill I've just found this to be like one of those things that it you know if we're gonna generate a UI It's nice to have it look pretty so all right That is kind of the foundational pieces now. It's actually like great. That's cool. You've just built this What do you actually do to go I get started on this? So the first thing that I'm gonna do to get started is I'm going to go and I'm gonna have Cloud code start responding to people on LinkedIn for me Um, that have asked for an asset So I've been doing all of these like giveaways basically here's one that's an email triage um, I wrote this uh giveaway doc You know notion document I'm now gonna go in and I'm gonna get this agent to start running for me in the background while I have other work going on So I've got the cloud code or sorry. I've got the cloud Chrome extension installed And I'm gonna go and I'm gonna say um, so I'm working out of this uh that directory right that I've already been in And I already have built this uh basically skill and it's a piece of software that will go and comment on everybody that asked for this asset so I'm gonna say this right now. I'm gonna say uh, uh, let's run or we're gonna transcribe it So let's run the LinkedIn respond uh software uh the Keyword that you're looking for is triage. I'm gonna provide the notion documents and the LinkedIn post URL And then I'm gonna select the uh post URL and I'm gonna put that in and then I'm also gonna select uh the notion document that I wanted to do as well So I'm gonna give it that uh, it's gonna start running so what it's gonna do right now is it's gonna basically open this up I'm gonna babysit it for a moment while it while it starts this process um And just make sure that it starts on the right path and once it's on the right path Then I'm gonna go and basically start on the other things and actually well It's thinking let's just go to these other places. So the next thing I'm gonna do uh is I'm going to go uh Or sorry, it that just opened the LinkedIn profile. Let's bring that back over here Um, so this is now running Perfect and so this should now start commenting on those responding back to those people I'm just gonna change this to most recent just so that it works backwards on this And then we're gonna just let that run in the background. So well that's happening um what I'm going to do now is we're going to build a new Facebook ads generator. So I've been doing this where it's basically a, and I'll show you an example of what this looks like. Let's just go over to LinkedIn and I can give you an example of the output that you're going to actually create today. So it's basically a bulk generator of ad creative. We're going to create this template and then I'm going to go and do research based off of Reddit and other social media posts for the pain points that people experience. And then we're going to go and bulk generate all these variations. So let's get that started right now. So I've got again, those API keys are stored within here and I've also made that skill. So I'm going to tell it right now. I want you to create a bulk Facebook ad generator. It's going to be a 1080 by 1080 pixel image. What's going to happen is I'll give you an example of what one of these ads looks like and then we're going to go and build a template around that and then we'll basically create a, or give you variations of text, both titles and paragraphs that we, I want to be generated. It'll be a zip file that we download for the beginning. Can you make this into a UI as well so that we can visually see the creative, the first thing I just wanted to be able to see is like what the actual creative will look like. For this, you're going to use just React components. So I don't want you, or like I just purely build it with React components. And then also to actually change this React components into a PNG that's downloadable, we're going to use HTML to Canvas. It's just a, you know, resource that you have available for you on that. Ask questions if you need. So I just transcribed that. I'm now going to put cod into plan mode and I'm just going to let that start running in the background. All right, so while that's running in the background, let's come back here and let's see the work that it's doing. So it's going through these and I believe it's now commenting. So that's happening. So we'll just let that run in perpetuity, respond back to them. All right, so next, I'm just going to just click through this quickly. I'll share it now. I'll share it. I'll share it after setup and then input method, form base UI. Let's do both. And then I'm going to hit submit. All right, so now that's working on that in the background. I'm going to open up another folder and I'm going to start Cloud Code again within an entirely another, another window. So I'm going to do documents, forward slash graphs. Let's go to agents and then demo. All right, so the next thing that I want to build as an example is I'm going to basically pull information. So I just did this actually so we could like talk through and about what this ends up looking like. But basically scraped all of the podcasts that were within the marketing category and then built a workflow that goes in cold emails them and then an agent that responds back to book me on the podcast. This ends up turning into way better performing than I expected. This is what my way. That's crazy. So what is instantly? Yeah, so instantly is a cold email software. And so it's just a part of my stack. So it's one of the things that like is within that environment file that allows for me to build on top of. And so what I'm like how I can think about this like on the it's basically like my manual workflows that I would do previously. We're just like daisy chaining those together like using this software. So I'm going to bring this into a new desktop and let's just rebuild that whole thing. I'm going to say you have the Riphonic API key. I want you to build a software that scrapes podcast host emails from Riphonic. It then sends it to a million verifier to verify the emails. And then it also will then send it to an instantly a campaign. I'll provide the instantly campaign that I want it to send to. All right, so I've got that now. I'm going to put that in the plan mode and let that run as well. And then we have that as its own window. And so while these two are working again in the background, we'll we can then go and actually do like some other work. So let me get this going and I'll just say, cool, so that's in plan. All right, so now this is my we're in this folder. This is like my demo folder, which I just like every time I give this presentation, I just Nuke. This is kind of to show you like how to start it from zero to one. This folder that we're in now is my actual folder that I live out of. And I'm just going to show you some of the things that like are like capable with this. So for example, I have it attached to notion and I've basically given it a an example of like how do we write a like a notion like giveaway, right? So I'm going to go and we're going to create one of these together right now because I need to actually accomplish this. So I'm going to give take this URL and then copy this over. And I'm going to say, okay, write a or create a notion document. Based on you, look at you typing with your hand. I know the problem here, we can do it in the the transcription of so create a notion document based off of our like current, our you know, our structure look for the skill that has this. I'm going to provide context on what that thing should include. You should incorporate stuff that we have we haven't within the repo like the documentation that I have in the repo and how to do this. All right, and so I'm going to copy this over. Let that run and now it's going to go and create me a notion document just like the one that we have being sent in the background here currently. All right, so in that folder, I've already created the bulk ad generator. So I'm just going to go in there just to show you like what you can do with this once that it's it's like you've actually gone through this process of like zero to one making this. So this is the bulk the creator as an example. So that's going to continue working on that bulk Facebook ad generator in the background. Well, that's happening. Let's go to graphs, growth agents and then I'm going to start cloud code within there. And now I'm going to start locally the bulk Facebook ad generator. I just want to bring that up within my local so that I can good create some ads. So again, it's already created the software for me. I'm now coming back to it and I'm going to talk through the whole process of the actual creation of this because it'll just like make more sense momentarily. But the goal here is basically what we're trying to do is I'm trying to create as many different variations of these ads as possible. So how did I make this ad? This is entirely code. And I think this is something to like double click on. Everything in here is or just it's just react components like that. This is just a react component and entirely built by code. And so I can make an infinite amount of these at scale. And I've done this already. So you can see this bulk forward slash or forward slash bulk forward slash HTML. So we're going to go through this together. How do we actually do this process? So I would go and I would give it an example and we'll do this over here while this one is like working on it. We'll come back to that. But I would give it an example of what like Adam trying to build a way to do this is if you don't know where to start, go to Facebook ads library and you can see what your competitors or other software companies are doing in your category. This is actually how I made this initial one was I found like this before and after format. And then I basically had it build off of that before and after. But this whole thing like everything you see here is just code. It's entirely code. The other way you can do this is with something like nano banana where you're like going and bulk generating these right. But once I found and I built that template, I can now make all those variations. So let's go back to cloud code. And let's say, okay, I want you to use the Facebook ads API and I want you to go and scrape the pain points that you see. Sorry, actually, let's restart that. I want you to use the perplexity API and go and scrape Reddit for the pain points and the outcomes that growth marketers wish they could have from like something like a look or studio or any of these other business intelligence software's that they're using. We be focusing on like the data analyst component of it of how they can't get bandwidth or it's too complicated to get started or they can't unify their data onto one location. You can also source from YouTube. You can also source from Twitter if necessary. So I'm going to have it go do research and those pain points for the ad. Sorry for the ad itself. Wouldn't we want to use Nana banana pro like the best image model that exists? Like why are we using code when you know when we can? Yeah, I'm just doing this purely like this was just a way I thought about doing it like absolutely the name of an anything. The only thing I've found with like nano banana is that I sometimes have trouble like getting it to stay on brand and if I'm I'm trying to just figure out the messaging variations that I'm trying to go after. This can be a faster way to do that. Again, there's like a million different ways to do this exact same thing. If you're going to use Nando and Banana, you should look at something like, I think it's like Kai AI, I believe. Nando Banana. Ork, yeah, Kai.ai. And you can just, I, base-fates one of these bulk buys, but we've been using that for these bulk generations. This that I'm doing costs me nothing. It's literally maybe a thousand tokens to do all of these generations. And so that's a reason for it. So it's like, I can go, we can go and create a thousand ad variations right now, G, and like, this literally costs nothing. But again, well, that's a part of it too, right? It's like, your goal is going to be come up with the best ad creative that's going to actually, you know, you put in a dollar, you get $3 out. Once you get that, you can make it, well, there's two schools of thought. One school of thought is you need the best creative. So you need to send it to Nando Banana Pro to get scroll stopping creative. Another school of thought is like, well, you actually have some pretty chronically ugly ads that just speak to the pain points that you can kind of get a good understanding of this is going to bring you a dollar 50 when you put in a dollar. And then you can get it from a dollar 50 to $3. Once you figure out the ad. So you're kind of saying, maybe it's best to like, get as many ads as possible, start using those, figure out the one or two or three creative that actually crushes and then go ahead and go crazy with spending tokens. - Totally. Like this, I guess a different, like I'm just trying to find like the format or the angle that's going to be most receptive. I'm gonna remix that a thousand times, you know, after it. The, this is like the big piece of this, especially with like how much we can do on the, like, anybody can go and generate as many of these as they want, right? Like it's literally infinite, but identifying those winners, like you're talking about now becomes the challenge that you're going to face with all of this. And like we're gonna get to that in a second. But the, the, the main thing I want to emphasize with it is like, this is valuable and flexible and the spit, the pace. Like just think about you manually having to go create 50 ad variations in Figma. And like you can just now make those and get those live and test those. And as soon as I find a winning like format from a, a language that's being said, perspective, I can then go and remix that into all these other different templates. I can go and find like what are different winning ad formats that I can now port this to. But this is a way to just like start immediately and then get that basically out in public. I also think that like the same ideas can go into different formats. Like we're all, you know, already seeing this where it's like cool. I made, you know, a static format. I'm now gonna port that over to a UGC format and I'm sending that to the agent API to pull in that, you know, like to make that creative, like pull in, pull it in as a video and then bulk upload that to Facebook if that makes sense. So I, like where I'm going with this or where I'm seeing this head personally is like, I'm gonna build these tools that an agent is going to have. And then it's gonna be able to run this process in the background where it's basically has the ability to make new creative. It can publish that creative directly to Facebook, which I'm gonna show you in a second. It's gonna then analyze what is working and then it's gonna like basically turn off what is in and promote what is, right? And this is like everything I'm gonna show you today is that like a small scale. Like this is literally like weeks of realization that's starting to happen like with this. But I just, again, I want to plant the seed of like what is possible using this tooling to like do your, again, that middle work, that historically like you wouldn't be able to do. So yeah, there's our questions about that. I'm gonna try to answer. - No. - Let's keep cooking. - Awesome. All right, so this keeps like trying to scrape things. I'm just gonna be like, instead I want you to just brainstorm pain points that people have with data reporting, specifically the unification of the data into multiple locations. Cool, so we're gonna do that. Once I have all those variations, I can then say, okay, now go bulk generate every one of those. And then at that point, I can download these as a CSV and what I will do is just wait for that while that's happening. We'll just get this to start downloading. And that Facebook ads API is gonna allow for us to bulk upload all of those pieces of creative that we just downloaded. So here's all those variations. I'm gonna say now, okay, now use the bulk, or let's do the transcription. Okay, now use the bulk Facebook ads generator to go and create these variations. Put them in the forward slash bulk.html page when you're done with this. So this is now happening. I'm gonna go back over to see what the other things are going off of. All right, so let's see this document based off of the current. We'll continue to let that happen. I'm gonna build this perfect. We're gonna let that go as well. So I'm looking at the scaffolding to build a bulk ad generator and we'll check in on this one to see where it's like basically at an it's process of responding. And it might have completed and it did complete. So that's done it ran for 15 minutes on its own in the background. These are coming back. So while these are all happening and I'm waiting on them or they're waiting on me, I can then open up another one of these. I'll just click through this to just kind of get it moving. But I would then open up another one of these tabs and I would start on the next project. So the next thing that I wanna do is I wanna build a LinkedIn engagement scraper. So I'm going, so basically at people that engage on the LinkedIn posts, I wanna pull them out and then send them to a, basically add them into instantly. So we're gonna go, we're gonna find their LinkedIn profile using Phantom Buster. We're then going to do that whole flow. So I'll do that in a second. Let me just get this up and give that its own section. By the end of this podcast, you're gonna have like 100. - This is literally how I'm working now. (laughing) - This is like, I'm just jockeying agents across. And then if I can automate them and get them to do, like if I can figure out, okay, this is the specific lane that you can focus on, then I'm spinning that up onto a server on railway and I'll talk about that in a second, on like how you can on-demand create databases and on-demand create the servers so that this software starts running in perpetuity. So we're gonna do this one. All right, so I wanna make a workflow where it's a, I basically within Slack, you'll do forward slash LinkedIn posts and anybody in Slack will be able to just drop in a LinkedIn post that they think is a good fit. And then that's gonna go and it's gonna use the phantombuster API to extract all of the engages and then it's gonna take those LinkedIn profiles. We're gonna go and enrich those with the Apollo API. And then from there, we're gonna send it to the Million Verifier API. And then finally, we're gonna add them to an instantly campaign. Ask me questions if you need. All right, so I'm gonna turn on plan mode for that. Let that start running in the background as well. We'll come back to these, let them continue to cook, publish the landing page, let me get context on what this one is again. - This is the craziest part when you're going from screen, like screen to screen and realizing that you're an agent jockey and that you're trying to get context on each one. You're like, okay, what was this one doing again? And I find that the context switching is actually difficult. - I did as well, but now it's like, now it feels like that has expanded. Like again, this is just how I've been working for the last six weeks. And it was like, maybe I could have two or three of them in the beginning and now it's like I'm comfortable with like we could have 15 windows open. I'm about to literally go buy a new computer 'cause I'm like, I need more RAM. I need more like ability to do this in the background. I'm just just out so-- - Totally. - Yeah. - So like and comment this video so that I could send some YouTube ad sense revenue to college. - Yeah, I can get some more RAM. - It's all ridiculous. - I need some RAM. - No, man, it's like I'm just realizing like what this turns into. So, okay, we made all those pieces of ad creative, right? I've got those variations and it's just text variations. All right, so now I'm gonna go back to Claude and I'm gonna be like, I want, now I want to bulk upload all of these ads as drafts into a Facebook ad set. Here is the, or here's where the folder is locally for the creative and I'm gonna provide the Facebook ads ad set URL to you in a second. All right, so I'm now going to go back to Finder and I'm going to copy this paste that in. And then let's go back to Facebook. And I have this ad set that I've already created for this demo. That's basically just here. And I'm just gonna paste in this URL. And so now here's that URL. It's gonna basically bulk upload all of those pieces of creative into that ad set. So while that's happening, I'm now gonna go and I'm gonna create a dashboard about this. So let's just pull out the ad set ID. Let's do the ad set ID. And I'm gonna go over to Graphed and I'm gonna be pull up Facebook ads as the data source. And then I'm gonna be say, this is the ad set ID. Make a dashboard showing clicks over time. Also have a scorecard that, sorry, I didn't do the transcription, make a dashboard showing clicks over time as a line chart also. Within that line chart, can you include the cost and the CPC as lines as well? And then add a scorecard also that has total spend, total traffic or total clicks as another scorecard. So those are two separate ones. And then I want you to also show demographic data as a bar chart of showing the ages. So that's its own separate chart. That's a bar chart basically showing the impressions by the age categories. So I'm gonna let that run in the background. We'll come back to that in a second. But now that I have this campaign that's running and I'm trying to track what's happening within it. I can basically go and like build out a tracking dashboard for this. The other thing that I can do, so once it's got the ad set with destination URL, would you like just put them as a draft. So while that's working, I can also analyze what is happening in that specific ad campaign. And I can turn off the losers of that ad campaign. So I'm gonna show you how to do that. So I do documents, forward slash graphed, forward slash growth agents, and then Clawed. And then I'm gonna get that URL again. And I'm gonna say, use the graphed MCP to pull in the data for this ad set that I'm about to provide from Facebook ads. I wanna look at the CPM data to see which ones are the lowest performing, like the highest CPM price. All right. And then let's provide the ad set URL. Again, let's go ad set. And then while that's happening, we can come in and check on the other ones. All right, so it's now built that entire bulk Facebook ad generator. We're sorry, which one is this? This is the look one. Okay, so it's made the updates to these ads. These are an entirely new ad set that it's basically pulling in. So I already did this, right? Of like, like downloading these as a zip and bulk uploading them. So we won't go through that process again, but this is how easy it is to basically make those variations. - And not just variations. These are variations based on pain points that people have said publicly. - Yes, exactly. So it has pulled in basically the social dialogue that's happened. So the best ads that I'm seeing perform right now are basically you're selling outcomes or you're talking to the pain points, right? And so I'm just guiding it to focus on those things, pull me that information, and then build the ad sets around those. So well, that just happens. This in the background just used the graph MCP to pull in all of the low performers. So these are the, let's look at the ones that have the highest CPM. So these all have high CPM. So I'm just gonna turn these off. I'm gonna say use the Facebook ads API to turn off these ads with this ad name. And so now it's just pulled in this live data from my data warehouse. And this isn't an MCP that's interacting with the Facebook ads API. I just wanna like emphasize this. So it's not have, you're not running in the rate limits. Like again, you go and publish like a thousand ads and running those variations. There is literally no way, like if you're spending enough, like there is literally no way that you're gonna be able to analyze this data without a data pipeline in a data warehouse. And so this is like what we've built, right, I graphed. So anyways, just to get back to the MCP thing, there's like this page nation problem. So like we see this all the time where people are like, yeah, I plugged in a Facebook ads, MCPM interacting with it. And then I realized that I'm only seeing like 5% of the data that I think I'm actually seeing, right. But so coming back to this, I've now said, hey, turn these off. So it went and it paused those ads for me. And so it's just, just to walk through what we just did, just kind of reiterate this. We just did ideation. We just did bulk ad creation. We just analyzed the data for the performers. We just turned those off and on based on that. And at this point, you're probably starting to have the epiphany like, oh, I can just turn this into a repeatable process. And this is where I see all of this going basically is you're going to be going to have these agents that are running on top of your live data. They're analyzing it, making decisions based off of like so like for example, how I would run this because I would have a test campaign where I'm basically testing new creative constantly. I would have a cron job that's on a daily basis, basically going and turning off the low performers. And then the high performers, they get bumped up into their own ad sets with their own dedicated ad budget for CPA action. And then that whole thing could just run automatically in the background. And then to track that, I'd build out a dashboard. That basically is showing me that information so I can come back to that like later on and see what's going to occur in there. And then the other thing that I would then go do is potentially have a conversation in the morning, say for example, so I've got the graph MCP in my clawed I like chat. So this is also technically on my phone. So like in the morning, I'll wake up and be like, how much traffic, let's just do this, how much traffic went to the, or how many new users went to the homepage of the website yesterday. I'll just say use the graph MCP and Google Analytics 4. And we'll let that run. And so I can basically get a brief each morning, whatever those KPI metrics are that I care about and have a conversation like with my data. That's live and being seen continuously within the background. And you can give this to your whole team as well so that everybody on your team also has access to this, both from within Cloud Code, within whatever their harnesses that they use, whether that's Shats, UBT or Cloud. And then also the ability to do that tracking within Dash Boardings or Conversations. Now coming back to all of this, right? We've just built out basically this whole cycle of funnel. How would I now go to deploy this? So this is where it gets the most interesting. So what I'm doing right now, say I wanted to turn this into an agent. I'm using Railway for this and the only reason is just because I saw a tutorial and that's how I figured out how to do this. So Railway has a really robust API key and say I wanted to spin up, for example, this bulk ad generator so that my other team members could use this, right? They could come back and basically use this software that I've created. I can just tell Railway via Cloud Code, hey, spin this up into a server that I can add to access or I can just deploy this directly to for sale. Or any of these workflows that I have. So say, for example, we were talking about that LinkedIn funnel. Let's go see which one of this it is. All right, so this is the podcast software. This is the image generator. This is the LinkedIn. So say I want this to be accessible and perpetuity in the background. I can then take the software that I co-work on with Cloud and I say, okay, deploy this to a server on Railway so that my whole team can basically use this action or always be adding, like whenever they come across a LinkedIn post as an example, they could be adding that into the queue so that it just automatically goes into the email, like filtering, sorry, the email, like cold email process. And this even goes further. So like how I'm starting to use this G and I'm curious, like to get your thoughts on this. So basically like I had to do some data analysis work the other day. Historically, I would have like downloaded the information, put it into Excel and then I do a bunch of pivot tables. Now instead what I did was I down, I went directly to the URL. I had to push it into a Postgres database that I on the fly created using the Railway API. It just pumped everything. thing in there. I then did the analysis together with Claude. And then at that point, I basically pushed from that Postgres database, the outputs to the location that I wanted. What have used it would have, it would have taken me probably five hours historically to like clean the data appropriately. And I smashed that out in like probably 20 to 30 minutes. And then as soon as I got done with that database, I just spun it down. And this was the most like interesting part of this was that like, it was basically like on the fly UI, on the fly, the epiphany I had was like on the fly UI's, on the fly databases, like on the fly software is going to become the standard for these people that are like, you know, working at the forefront of this. So, um, yeah, man, I, we could probably, you know, sit here and watch me work for hours if you wanted. But that's kind of everything I had that I wanted to show you today. The only other thing, I'm just like, keep getting asked, like, how do I do this? How, like, show me more technical details. I bought the domain GTM engineering course.com. I'm going to give this thing away for free to everybody who wants it. It'll be entirely public. I've already got a wait list of 100. But basically, I'm just in the process of building this out with like step by step. And it's everything that I do. I'm just going to document into one place. But anyways, I just thrown that out. There was a lot of thing. But any, I'd be curious on like, okay, you see, you just watch this and you're in like a role in some company. Like, how do you defend against this? Like with your job or do you, is it just like, you need to learn this now? And like, I want to hear your thoughts because you're seeing way more than I am with everything. I'll tell you my, I'll answer your question, but I want to start by saying like my biggest takeaway from all of this. Yeah. So my biggest takeaway of all this is when you connected it with real way. And I, it's a glimpse into the future of autonomous marketing. So marketing, you know, you basically, what you've done, like all those sort of jobs to be done were jobs to be done that were literally done by human beings, right? And then you kind of stitch it together, you know, if you've ever run ad campaigns before, you know how painful some of these things are. Like just uploading the ads alone. I was like, I have literally spent like, I mean, I'm just imagining uploading a thousand ad variations. Like dude. Like it just don't give me a key on the pod. I did this early in my career was absolutely painful. It was painful, right? It was painful and and it's not fun. It's not fun at all. Removing and figuring out low performers at a creative, not fun, not fun. And you need to be on it. So the idea that you can, you know, make this an agent that's working 24/7 and that's managing all these different things is the dream. It is absolutely dream autonomous marketing the dream. I think who are the winners and who are the losers of this? The winners are going to be, you know, one person businesses, small teams. And then maybe you're head of marketing that currently you're getting paid $100,000 a year. Now I've decided if you can figure out how to do all these things and this is where I'm answering your question. If you can figure out how to do all these things, you know, you could make the case like, hey, triple, you know, triple my salary. Easily. Right? Like from a value perspective, like if you can do all these jobs to be done, you're one person instead of 10, there is a case to be made that you've made, you know, you've added an intramenas amount of value to your role. So I think, and then the unfortunate thing is I think a lot of a lot of these jobs to be done and this is where I disagree with a lot of people is I think that there is going to be a lot of job loss. Real job loss. Like it just, who anyone is going to be extremely rapid job loss. And then, like I'm just thinking about like the early days of like what we saw, you know, in the industrial revolution in like United Kingdom, like they, I mean, you basically have this displacement and then new roles get created, but like in that interim still a lot of turmoil. It's going to be chaos. And I like, I have a friend who runs a startup and he texted me yesterday and he's like, I think I'm going to fire 50 people. And that's like 70% of his team, right? And I'm just over here and I'm like, how? Why? Well, you know, tell me the reason he's like, I think I can automate all of their jobs right now with like agent swarms. And I'm like, okay, what's an agent swarm? You know, because that's just like throw up like term that gets thrown around right now. And it's like, Oh, it's just an agent that does like a specific thing. And then there's an agent that manages like that whole system. And then like, I imagine like five pillars under like another agent. And I'm like, Oh, I've built that. That's what an agent swarm is. And I think that this is the thing that like people are really because now it just runs in the background. See, like I've won that's just like crawling LinkedIn, like as we speak. And it's like looking for like ICP. And then it enriches them. It writes a personalized email and a cold emails. Yeah. And like, I don't think people understand like what's about to happen in like the next 12 months. So and I'm excited about it. Cause I think there's like, again, what if you can build like it is incredible. Like you're so capable right now, especially if you have domain knowledge is the other thing that I'm finding is like just because you can like it can be built. Doesn't mean that you can build it because you don't have the vocabulary. Like when I look at like my co-founder max, right? And his technical vocabulary, how he can describe the problem to a coding agent is so much more sophisticated than all ever be able to do it. And so the output quality that he can get from this is at a like a level that's in the top 10 top 1%. So if we translate that to something else, like say you studied graphic design for 20 years, and like you've been working in the industry for 20 years, the vocabulary you have to describe something is going to be so much more sophisticated than what I have. So I'm like, this happened the other day where I'm like, I wanted to put texture on the back of an ad and I was like, how the fuck do I do that in the background? I kept trying to describe it. It came out terrible. And then I found this like person giving a description of like, how do you make it have a TV type texture? Right? And it was like all of these, you know, specific like it was like a specific lexicon to describe it to call it. Literally one shots it, you know, immediately like what I was looking for after that. And I have you have that realization that this actually becomes like the superpower. If you can incorporate these tools into what you're doing for work and have that domain expertise, that knowledge that's like on top of that, that actually is what makes you like incredible. And so it's the same thing that we've always seen where it's like, oh, you have one or two skills with like a deep T and then you like, that what makes you valuable. This is like that, but like, you know, times a thousand where it's like, if you have the vocabulary, you know, and six things and you come to this tooling and can basically express and explain like what you're needing or what you're looking for. It changes the entire system in my mind. But I again, I would love to hear your thoughts on like where you like and also just like what you're seeing within your own companies that you own and all like, you know, within the market as well. Well, I think the reality is there's a lot of people, even if they have a ton of domain expertise, they don't know the tools and how to use the tools optimally yet. Now, I think that the tools are going to get so good that the UX is going to be so easy at some point. But for right now, like, for example, if we if we counted off all the tools that you mentioned in this in this podcast, you probably mentioned 17, no more 20 tools. I'll include some of those in the show notes. Yeah, I'll give you people list of them so that you can pass them out. Yeah. Fant and blast there instantly. Like, I'm not even talking about like, Claude code and stuff like that. You like, you've done your research. You found the tools and, you know, I think that's why a lot of people listen to this podcast. They try to, you know, it's a way to for them to learn a lot of that stuff. But the point is I have a lot of respect for the people that understand they have domain knowledge, know that that domain knowledge is super valuable and who are going out out there and trying things. But yeah, this, you know, the other sort of takeaway I have from this podcast is your insight around APIs, which I thought was really interesting. So like, in the old way, in the old way of like SaaS tools and stuff like that, you didn't, I mean, it was nice. An API was a nice to have, you know, it was about how good is the software that you're using? How good is the UX? How good is the brand? How good is, you know, when you press this feature, how quick is it? How instant is it? But now when you're living in a terminal, for example, and you're using MCPs to talk to LMS, you kind of, you know, the nice to have is actually the UI. The nice to have is the SaaS. The nice to have is going to this website and look pretty. Ultimately, what you care about is the output and the thing is running, the agents are running, you know, 24/7. They aren't, you know, hogging tokens. The output is high quality. It's doing the thing that it says, you know, it should do. And I think Sam Altman said recently something about APIs. I think he said, every company, is going to be an API company. Totally. I align with this like now doing this like I there's a software like I just won't put them on blast because I know how big your audience is but like like there's a thing you can do in their UI. I can't do in their API and I'm literally about to churn because I'm just like this is critical for me and now it feels archaic for me to go and interact with your fucking a you like UI to do this outcome like output that I'm that I'm like I need and I think that this is going to be like I think there's going to be companies that are entirely just like like what it I mean we literally have this conversation internally like do we build an ape like a UI because that even a thing that we do or do we just build the tooling that enables you to see like where we see the puck going and I think that like you know we had to come you know have a come to Jesus moment of like oh this is uh like where we know the puck is going is entirely different than like where the normie like is right now and like the adoption cycle of this and so like having to like meet there to ride this but like I mean it's very clear right like for example like with the graph mcp that's a live data feed so I may I'm like when I'm like show me my Google ads and Facebook ads paid ads spend right that's a live data feed that's happening underneath the hood it's like a it's like an endpoint that I'm hitting it's literally on the fly generating a live data endpoint that I can pull from my data warehouse from so with that I can basically build whatever I want on top of that and I'm like okay well well let's just go build a custom dashboard like for what we need but what we're finding is that like there's like kind of different use cases like the I guess how what I'm trying to say is like you're basically making your agent so that or whatever it is your tooling is so that fits into any harness so whether you're working from clot iOS or chat GPT desktop or claw code on you know in your terminal or like cursor or you know even the UI it's unified across that and people can basically take that wherever they want and get the same outputs and so from a product standpoint this is how we're like you know focused on it and kind of moving forward and I think it again what it comes down to though is like everything that like we're talking about this tooling piece like unless you know what to do it's very hard to get it to like if I if I didn't know this these exact tool sets to use to like go and do these actions like here's how to do this LinkedIn thing as an example there would be like a very low chance that it would be able to figure this out it's totally possible it can it's just like gonna take longer and you can do this now with like clot and with perplexity where you're like I'm trying to do x lists five APIs that can help me do that but I think this is how people are going to start building this and like I'm finding myself doing this or I'm like I have this like vision of a workflow and I'm starting with the final product and then I'm like working back in like you know basically piecing together how does this work and then having the agent go and build that for me and so then this comes back to like how do agents discover the necessary infrastructure for and like how do you be the thing that it picks when it's going to build you know xyz thing and like again these are the things I'm losing sleep over now as we're like get a deeper and deeper into this well Cody I appreciate you being so saucy with with sharing all the stuff with us we do appreciate it I need you know it's been too long it's been too long you need to come back on again and and share some ideas and stuff like that so we'd love to have you and uh to have a ton of them man you can go for days about Chrome extensions right now you can literally applaud code one shot them and just turn on Facebook ads in the background automatically I also had an agent that was running an Etsy shop for a little bit that was crazy it just got banned two days ago which was hilarious so so people please you know let's beg Cody to come back on the pod and have a monsoon this is an open-in by Cody you can come on whenever you'd like share ideas you get you definitely get my creative juices for once I appreciate you so much and appreciate it Thanks for your time as always man. I always love coming on. Thank you.